Ordinal Logit is a model used for dependent variables that have sequential (ordinal) categories, such as ratings (very poor, poor, good, excellent). This model assumes that there is an order within the categories, and the main objective is to predict the probability of the response falling within each ordinal category. One commonly used approach is the Proportional Odds Model, which assumes the same relationship between ordinal categories for each unit change in the independent variable.